There has been growing interest in the use of smart wearable technology to promote physical activity (PA) behaviour change. However, little is known concerning PA patterns throughout an intervention or engagement with trackers. The objective of the study was to explore patterns of Fitbit-measured PA and wear-time over 24-weeks and their relationship to changes in Actigraph-derived moderate-to-vigorous PA (MVPA). Twenty-nine intervention participants (88%) from the wearable activity technology and action-planning (WATAAP) trial in colorectal and endometrial cancer survivors accepted a Fitbit friend request from the research team to permit monitoring of Fitbit activity. Daily steps and active minutes were recorded for each participant over the 12-week intervention and throughout the follow-up period to 24-weeks. Accelerometer (GT9X) derived MVPA was assessed at end of intervention (12-weeks) and end of follow-up (24-weeks). Fitbit wear-time over the 24-weeks of data was remarkably consistent, with median adherence score of 100% for all weeks. During the intervention, participants recorded a median 8006 steps/day. Daily step count was slightly increased through week-13 to week-24 with a median of 8191 steps/day (p = 0.039). Actigraph and Fitbit derived measures were highly correlated but demonstrated poor agreement overall. Fitbit measured activity was closest to MVPA measured using Freedson cut-points as no bias was observed. Step count was maintained throughout the trial displaying promise for the effectiveness of smart-wearable interventions to reduce sedentary behaviour beyond the intervention period. Further worthwhile work should compare more advanced smart-wearable technology with accelerometers in order to improve agreement and explore less resource-intensive methods to assess PA that could be scalable.

Purpose: The purpose of the study was to explore colorectal cancer survivors' health perceptions following cessation of active treatment for cancer and to explore the factors influencing participation in health‐promoting behaviors that may help reduce cardiovascular disease risk.Methods: Face‐to‐face interviews were conducted with participants that had completed active treatment for cancer within the previous 2 years. Participants were colorectal cancer survivors (N = 24, men = 11, women = 13, M age = 69.38 years, SD = 4.19) recruited from a private hospital in Perth, Australia on the basis that they had existing morbidities that put them at increased risk of cardiovascular disease. Interview transcripts were analyzed using thematic analysis.Results: Five main themes emerged: back to normal; the pleasures in life: ‘is it worth it?’; beliefs about health behavior; skepticism of eating guidelines; and lack of motivation. The majority of participants felt they were in good health and had made a full recovery. Participants questioned whether it was worth changing their lifestyle given their life stage and referred to the desire to enjoy life. Lay health beliefs, skepticism of eating guidelines, and a lack of motivation were barriers to change.Conclusions: Interventions should target lay beliefs and skepticism in relation to health behaviors in order to reinforce the importance and value of participating in health‐related behavior.Implications for Cancer Survivors: Findings may inform the development of effective, patient‐centered interventions that target lay health beliefs and build motivation for health behavior change. Copyright © 2016 John Wiley & Sons, Ltd.

Background/Objective: Colorectal and gynecologic cancer survivors are at cardiovascular risk due to comorbidities and sedentary behaviour, warranting a feasible intervention to increase physical activity. The Health Action Process Approach (HAPA) is a promising theoretical framework for health behaviour change, and wearable physical activity trackers offer a novel means of self-monitoring physical activity for cancer survivors. Method: Sixty-eight survivors of colorectal and gynecologic cancer will be randomised into 12-week intervention and control groups. Intervention group participants will receive: a Fitbit Alta™ to monitor physical activity, HAPA-based group sessions, booklet, and support phone-call. Participants in the control group will only receive the HAPA-based booklet. Physical activity (using accelerometers), blood pressure, BMI, and HAPA constructs will be assessed at baseline, 12-weeks (post-intervention) and 24-weeks (follow-up). Data analysis will use the Group x Time interaction from a General Linear Mixed Model analysis. Conclusions: Physical activity interventions that are acceptable and have robust theoretical underpinnings show promise for improving the health of cancer survivors.

Pharmacists are trusted and accessible healthcare professionals who are well-positioned to deliver brief health behaviour change technique-based interventions for chronic health conditions. However, little is known about the factors influencing pharmacists' use of behaviour change techniques and their capacity to deliver these interventions within community pharmacy. This study employed the COM-B model to explore the factors that explain pharmacists' delivery of behaviour change techniques in practice. A secondary objective was to ascertain whether capability, opportunity, and motivation are associated with and explain significant variance in the use of behaviour change techniques during patient interactions. Two-hundred and eleven Australian pharmacists (mean age = 36.1, SD = 10.7) completed a survey on their capability, opportunity, and motivation to deliver behaviour change techniques, and their delivery and frequency of use in practice. Most pharmacists (91.3%) use behaviour change techniques during patient interactions. Results from a simple linear regression showed that a composite COM score was associated with pharmacists' behaviour change technique use F(1,195) = 47.12, β = 0.44, 95 % CI [0.09, 0.16], p < .001, and their frequency of use (F(1,198) = 44.19, β = 0.43, 95 % CI [0.02, 0.06], p < .001). While capability, opportunity, and motivation were individually associated with the range and frequency of behaviour change technique used, motivation was the only significant variable in the composite model for range (β = 0.35, 95 % CI [0.11, 0.41], p < .001) and frequency of behaviour change technique use (β = 0.22, 95 % CI [0.01, 0.09], p < .05). Pharmacist motivation was the most important construct explaining behaviour change technique use. Interventions should seek to foster pharmacist motivation and may benefit from adopting COM-B as a behaviour change framework, to understand the factors influencing the delivery of behaviour change interventions.